摘要
本文建立了中药黄芩药效评价的BP神经网络模型,通过收集海量相关数据,训练其模型参数,建立了中药黄芩谱-效结合评价系统。测试结果证明了该方法的先进性与可靠性。
How to impersonally and effectively assess the pharmacological effects of traditional Chinese medicine （TCM） is one of the difficulties confronting the modern research of TCM. This paper establishes a neural network model for the assessment of pharmacological effects of traditional Chinese medicine Huang Qin. We train this model with massive data and adjust its model parameters. We therefore construct a union effect assessment system for the traditional Chinese medicine Huang Qin. Test results show the advances and reliability of this method.
出处
《山东科学》
CAS
2011年第1期72-76,共5页
Shandong Science
基金
国家科学技术部"十一五"支撑计划项目(2006BAI06A02-03)
山东省科学院博士基金项目(科基合字[2008]第25号)
关键词
中药药效评价
谱-效相关模式
神经网络
指纹图谱
quality assessment of a traditional Chinese medicine
chromatographic fingerprint and pharmacological effect correlation mode
neural network
fingerprint
